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Record W2085025319 · doi:10.1063/1.3549153

Power performance of canted blades for a vertical axis wind turbine

2011· article· en· W2085025319 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Renewable and Sustainable Energy · 2011
Typearticle
Languageen
FieldEngineering
TopicWind Energy Research and Development
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVertical axis wind turbineAerodynamicsThrustWind powerTurbine bladeTurbineMarine engineeringBlade pitchWind tunnelPower (physics)EngineeringVertical axisHorizontal axisStructural engineeringAerospace engineeringMechanical engineeringPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

Small scale vertical axis wind turbines have a number of advantages for deployment in an urban environment but are subject to highly varying thrust and radial aerodynamic forces. Helical blade shapes for vertical axis wind turbines can reduce load fluctuations during turbine operation; however, a helix has complicated three-dimensional geometry that can be difficult to manufacture resulting in expensive blades. A new blade configuration based on twisted straight blades that are mounted at an angle to the vertical, a cant, has been developed and tested in a wind tunnel in a number of different configurations and conditions. They offer the benefits of distributing the fluctuating aerodynamic loads, but incorporate a linear axis so that they can be manufactured at a comparable cost to simple straight blades. The power performance data from the tunnel testing show that canted blades have comparable power output to similar straight blades and that aerodynamic fences can be used to improve power performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.197
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it